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outbound-prospecting-engine出站探矿引擎

Agent Skill

outbound-prospecting-engine 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

353

周安装

15

GitHub Stars

607

下载量

124
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:outbound-prospecting-engine(出站探矿引擎)
来源仓库:https://github.com/athina-ai/goose-skills
仓库路径:skills/outbound-prospecting-engine
安装命令:
npx skills add https://github.com/athina-ai/goose-skills --skill outbound-prospecting-engine
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/athina-ai/goose-skills --skill outbound-prospecting-engine

简介

outbound-prospecting-engine 用于查找、检索和筛选相关信息。

  • 适合在 Codex、Claude、Cursor、Gemini CLI 中根据关键词快速定位候选结果。
  • 通过 npx skills add 命令从指定仓库安装,需结合 README 确认具体用法。
  • 安装前建议核实权限范围、维护状态及是否涉及联网或文件操作。
  • 适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

SKILL.md

Outbound Prospecting Engine

Build and run a complete outbound prospecting system: signal detection → company research → contact finding → personalization → campaign launch.

When to Use

  • "Set up outbound prospecting for [client]"
  • "Build a lead gen engine targeting [ICP]"
  • "Find and reach out to companies that need [solution]"

Prerequisites

  • Client context.md with ICP, value props, positioning
  • Signal keywords (what to monitor for intent)
  • Approved messaging / email sequences (or generate them)

Steps

1. Define Signal Sources

Based on the client's ICP and motion, select which signals to monitor:

Signal SourceBest ForSkill
Job postingsCompanies with allocated budgetjob-posting-intent
Funding announcementsCompanies with fresh capitalfunding-signal-monitor
LinkedIn posts/commentsPractitioners discussing the problemlinkedin-post-research + linkedin-commenter-extractor
Conference attendeesPeople actively engaged with the spaceluma-event-attendees
Competitor customersCompanies already buying similar solutionscompetitor-post-engagers

2. Run Signal Detection

Execute selected signal skills with client-specific keywords. Run in parallel.

Output: Raw signal list — companies + signal context.

3. Qualify & Score

Skill: lead-qualification

Filter against ICP criteria. Score each lead:

  • Multi-signal leads = highest priority
  • Job posting + funding = strongest intent
  • Single social mention = lowest (awareness only)

4. Find Decision-Maker Contacts

Skill: company-contact-finder

For top qualified companies, find the specific decision-makers:

  • Target titles from client's ICP
  • Get email addresses and LinkedIn URLs

5. Deduplicate

Skill: contact-cache

Check all leads against the contact cache. Add new leads to cache. Skip any that have been contacted before.

6. Personalize Outreach

For each lead, generate personalized email sequence using:

  • The signal that surfaced them (the "why now")
  • Their company context (what they do, their pain)
  • The client's value proposition (how it solves their pain)

7. Launch Campaign

Skill: cold-email-outreach

Set up the outreach campaign in your chosen tool:

  • Create campaign with name and schedule
  • Upload lead list
  • Configure 2-3 email sequence (personalized per lead or per segment)
  • Allocate mailboxes
  • Set sending schedule

8. Monitor & Iterate

  • Track open rates, reply rates, meeting bookings
  • A/B test subject lines and messaging
  • Re-run signal detection weekly to add new leads
  • Update contact cache with outcomes

Ongoing Cadence

  • Weekly: Re-run signal detection, qualify new leads, add to campaign
  • Bi-weekly: Review campaign metrics, adjust messaging
  • Monthly: Review overall pipeline contribution, adjust signal sources

Human Checkpoints

  • After Step 3: Review qualified lead list before finding contacts
  • After Step 6: Review personalized email copy before launching campaign
  • After Step 8: Review campaign performance metrics

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

33.53%
按下载量换算42

Claude

33.63%
按下载量换算42

Cursor

17.91%
按下载量换算22

Gemini CLI

8.95%
按下载量换算11

安全审计

Gen Agent Trust Hub

通过

Socket

可疑

Snyk

可疑

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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